An image processing method is configured to split a deconvolution kernel according to a preset splitting mode to obtain a sub-convolution kernel. And then, determining an original sub-matrix corresponding to the sub-convolution kernel, according to parameters of the sub-convolution kernel and an image feature matrix, and performing a convolution operation on the original sub-matrix corresponding to the sub-convolution kernel by using the sub-convolution kernel to obtain a deconvolution sub-matrix corresponding to each sub-convolution kernel; determining a target feature matrix according to the deconvolution sub-matrix corresponding to the sub-convolution kernel. When performing the deconvolution operation by the method, the image feature matrix doesn't need to perform tic-tac-toe filling to reduce a storage space occupied in the deconvolution operation process; in addition, since zero filled in the tic-tac-toe isn't participated in the deconvolution operation, calculation amount can be greatly reduced, and calculation efficiency of the deconvolution operation can be improved.